1. On the Antenna Position to Improve the Radiation Pattern Characterization
- Author
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Romain Contreres, Nicolas Mezieres, Jean-Marie Lerat, Laurent Le Coq, Benjamin Fuchs, Gwenn Le Fur, Institut d'Électronique et des Technologies du numéRique (IETR), Université de Nantes (UN)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Laboratoire National de Métrologie et d'Essais [Trappes] (LNE ), Centre National d'Études Spatiales [Toulouse] (CNES), European Union through the European Regional Development Fund, French Region of Brittany, Ministry of Higher Education and Research, Rennes Métropole and Conseil Départemental 35, through the CPER Project SOPHIE / STIC & Ondes, Université de Nantes (UN)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Nantes Université (NU)-Université de Rennes 1 (UR1)
- Subjects
sparse recovery ,Computer science ,antenna radiation patterns ,Acoustics ,Spherical harmonics ,020206 networking & telecommunications ,02 engineering and technology ,Antenna measurements ,Radiation pattern ,Harmonic analysis ,Data set ,[SPI]Engineering Sciences [physics] ,Sampling (signal processing) ,Position (vector) ,spherical vector wave expansion ,0202 electrical engineering, electronic engineering, information engineering ,optimization methods ,Electrical and Electronic Engineering ,Antenna (radio) - Abstract
International audience; The 3D characterization of radiating structures is a frequently encountered, and yet challenging, procedure. The theoretical sampling criterion often leads to prohibitive measurement duration, especially for antennas embedded on electrically large structures. However, the position of the antenna under test strongly influences the sampling requirements. By appropriately positioning the antenna with respect to the measurement system, it is possible to promote the low spatial frequency part of its spherical harmonic spectrum. We present a post-processing optimization algorithm enabling a systematic and accurate determination of the antenna best position from a given measurement dataset with no prior knowledge. This sooptimized position is exploited to improve the characterization of the antenna radiation pattern without resorting to any additional measurement sample. The proposed algorithm is validated for both near-field simulations and far-field measurements on various radiating structures, including an antenna embedded on a satellite model.
- Published
- 2021